Analytics Engineer

Job not on LinkedIn

🔥 0 minutes ago

🏄 California – Remote

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💵 $153.4k - $204.5k / year

⏰ Full Time

🟠 Senior

🔴 Lead

📊 Analytics Engineer

🦅 H1B Visa Sponsor

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👻 Ghost score 4%

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Hex

51 - 200 employees

💼 Consulting

📣 Marketing

🤖 Artificial Intelligence

Consulting • Marketing • Artificial Intelligence

Hex is a collaborative, AI-powered workspace that brings teams together with data. It enables end-to-end workflows, from quick queries to deep-dive analyses, and facilitates the creation of interactive data apps. Hex integrates various tools such as SQL, Python, R, and spreadsheets in a modular, notebook-based canvas, allowing users to generate queries, create visualizations, and perform analyses with ease. The platform supports teamwork by allowing feedback from peers, alignment with stakeholders, and the building of reusable components. Hex also offers a drag-and-drop builder for creating interactive reports and dashboards. With built-in connections to popular data warehouses and databases, Hex simplifies data integration and collaboration for thousands of teams. Its deep integration with tools like dbt, Snowpark for Snowflake, and orchestration frameworks like Airflow enhances its functionality in data science and business intelligence. Hex is designed for security and offers enterprise-grade controls, making it a trusted platform for data teams worldwide.

📋 Description

• Conduct analysis on what makes for a successful sales POC or self-service trial of Hex’s product • Partner with a cross-functional growth squad to improve the product-led-sales strategy • Help evaluate and evolve the approach to monetization alongside the rapidly evolving product • Continuously test and adopt new tools and workflows in Hex and beyond • Share feedback with product teams • Help train teammates on using Hex effectively as a data workspace • Shape how data teams operate in the AI era and accelerate Hex’s ability to bring that future to data teams everywhere • Partner with the Growth and Monetization team to evolve pricing and packaging, experiment with ways to show product value in trials, and provide data and insights supporting adoption

🎯 Requirements

• 8+ years of experience as a data analyst, analytics engineer or data scientist, or equivalent years working in a highly analytical role regardless of title • A track record of working to maximize business impact by navigating ambiguity and focusing on unblocking the functions you support • Curiosity about new technologies and a willingness to experiment with tools and workflows to improve how teams work with data • A drive for quality, simplicity, and maintainability in your work • Strong agent management skills, knowledge of SQL and dbt, and experience maintaining data warehouses and ELT pipelines

🏖️ Benefits

• Market-benched salary • Equity • Comprehensive health benefits • Flexible paid time off

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